Distributed Control and Optimization Technologies in Smart Grid Systems

by GUO, FANGHONG

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Title Statements

Full title :Distributed Control and Optimization Technologies in Smart Grid Systems / editors, Changyun Wen, Yong-Duan Song.

Summary

"The book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to renewable energy systems, with a special focus on micro grid systems. Each of the chapters is written and organized with an introductory section tailored to provide the essential background of the theories required. The text includes industrial applications to realistic renewable energy systems problems and illustrates the application of proposed toolsets to control and optimization of renewable energy systems."--Provided by publisher

Edition Statements

Publication Date:2017.
Edition:First edition

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton, FL
Language:eng
Publication Date:2017.

The Physical Object

Description:1 online resource : : text file, PDF

Edition Identifiers

ISBN:1351613979, 9781351613972, 9781351613965, 1351613960, 9781315109732, 1315109735, 9781351613958, 1351613952
oclc:on1012311114
LC Classification:TK3001
Dewey Decimal:621.3

Halftitle -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Author -- List of Symbols -- Section I: Introduction -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Objectives and Scope -- 1.3 Microgrid -- 1.4 Control Strategies of MGs -- 1.4.1 Primary control -- 1.4.2 Secondary control -- 1.4.3 Tertiary control -- 1.4.3.1 Optimal power flow -- 1.4.3.2 Economic dispatch -- 1.4.3.3 Optimal energy scheduling -- 1.5 Major Contributions of the Book -- 1.6 Organization of the Book

2 Preliminaries2.1 Graph Theory -- 2.2 Distributed Finite-Time Average Consensus Algorithm -- 2.2.1 Distributed FACA -- 2.3 Finite-Time Control -- 2.4 Multi-Agent Optimization -- 2.4.1 Synchronous optimization -- 2.4.2 Sequential optimization -- 2.4.3 Projection -- 2.4.3.1 Projection operator (Case 1) -- 2.4.3.2 Projection operator (Case 2) -- Section II: Distributed Secondary Control -- 3 Distributed Voltage and Frequency Restoration Control -- 3.1 Introduction -- 3.2 Modeling of MG -- 3.2.1 DG model -- 3.2.2 Network model

3.3 Distributed Secondary Controller Design3.3.1 Control objective -- 3.3.2 Distributed secondary controller design -- 3.3.2.1…